Electrical and Computer Engineering 541: A Computational Introduction to Deep Learning
University of Southern California, Fall 2025
Schedule
Week 1
| Aug 25: | Lecture 1 Deep Learning Principles and Paradigms | |
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| Demo 1 Demos | ||
| Homework 1 Homework 1 | ||
| Reading 1 Reading 1 |
No Class -- No class, Labor Day
Week 2
| Sep 8: | Lecture 2 Python Fundamentals | |
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| Homework 2 Homework 2 | ||
| Reading 2 Reading 2 |
Week 3
| Sep 15: | Lecture 3 MMSE Estimation and Prediction | |
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| Demo 3 Demos | ||
| Homework 3 Homework 3 | ||
| Reading 3 Reading 3 |
Week 4
| Sep 22: | Lecture 4 Regression, Maximum Likelihood, and Information Theory | |
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| Demo 4 Demos | ||
| Reading 4 Reading 4 |
Week 5
| Sep 29: | Lecture 5 Classification and Logistic Regression | |
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| Homework 4 Homework 4 | ||
| Reading 5 Reading 5 |
Week 6
| Oct 6: | Lecture 6 Backpropagation | |
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| Homework 5 Homework 5 | ||
| Reading 6 Reading 6 |
Week 7
| Oct 13: | Quiz 1 Weeks 1--6 | Sample -- Fall 2024 (Thursday, 09 October @ 12:00) |
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| Homework 6 Homework 6 |
Week 8
| Oct 20: | Lecture 7A Training Deep Neural Networks I | |
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| Homework 7 Homework 7 | ||
| Reading 7 Reading 7 |
Week 9
| Oct 27: | Lecture 7B Training Deep Neural Networks II | |
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| Homework 8 Homework 8 | ||
| Reading 8 Reading 8 | ||
| Project Proposal | Handouts and Templates |
Week 10
| Nov 3: | Lecture 8 Convolutional Neural Networks (CNN) | |
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| Homework 9 Homework 9 | ||
| Reading 9 Reading 9 |
Week 11
| Nov 10: | Lecture 8 Convolutional architectures. | |
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| Demo 10 Demos | ||
| Homework 9 Homework 9 | ||
| Reading 10 Reading 10 |
Week 12
| Nov 17: | Lecture 9 PyTorch: Optimizing training. Data engineering. | |
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| Reading 11 Reading 11 |
Week 13
| Nov 24: | Lecture 10 Auto-encoders and embedding. Recurrent neural networks (RNN). | |
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| Reading 12 Reading 12 |
Week 14
| Dec 1: | Quiz 2 Weeks 7--13 | Sample -- Fall 2024 (Friday, 28 November @ 12:00) |
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